Objective: Most attempts at smoking cessation are unsuccessful, and stress is frequently characterized both as a momentary precipitant of smoking lapse and a predictor of subsequent changes in other key precipitants of lapse. The current study examined longitudinal associations among stress, multiple precipitants of lapse, and lapse among smokers attempting to quit. Method: Ecological momentary assessments (EMAs) were gathered from a multiethnic, gender-balanced sample of 370 adults enrolled in a smoking cessation program. EMAs (N ϭ 32,563) assessed smoking lapse and precipitants of lapse, including stress, negative affect, smoking urge, abstinence self-efficacy, motivation to quit, difficulty concentrating, coping outcome expectancies, and smoking outcome expectancies. A multilevel structural equation model simultaneously estimated within-subject paths from stress to multiple precipitants and subsequent smoking lapse. Indirect effects of stress to smoking lapse through precipitants were computed. Results: Results indicated that increased stress was significantly associated with all precipitants of lapse, consistent with a greater risk for lapse (i.e., increased negative affect, smoking urge, difficulty concentrating, and smoking outcome expectancies and reduced abstinence self-efficacy, motivation to quit, and coping outcome expectancies). All precipitants were significantly associated with subsequent lapse. Indirect effects indicated that stress was uniquely connected to lapse through negative affect, smoking urge, abstinence self-efficacy, coping outcome expectancies, and smoking outcome expectancies. Conclusions: Results of this study highlight the broad importance of stress for smoking lapse during a quit attempt. Smoking cessation programs should pay close attention to the role of stress in exacerbating key precipitants of lapse to improve cessation success rates.
Ambulatory assessment of smoking behavior has greatly advanced our knowledge of the smoking cessation process. The current article first provides a brief overview of ecological momentary assessment for smoking cessation and highlights some of the primary advantages and scientific advancements made from this data collection method. Next, a discussion of how certain data collection tools (i.e., smoking topography and carbon monoxide detection) that have been traditionally used in lab-based settings are now being used to collect data in the real world. The second half of the paper focuses on the use of wearable wireless sensors to collect data during the smoking cessation process. Details regarding how these sensor-based technologies work, their application to newer tobacco products, and their potential to be used as intervention tools are discussed. Specific focus is placed on the opportunity to utilize novel intervention approaches, such as Just-In-Time Adaptive Interventions, to intervene upon smoking behavior. Finally, a discussion of some of the current challenges and limitations related to using sensor-based tools for smoking cessation are presented, along with suggestions for future research in this area.
Objectives: Although cognitive behavioral therapy is an effective intervention for chronic pain, it is a lengthy treatment typically applied only in specialty care settings. The aim of this project was to collect preliminary effectiveness data for Brief Cognitive Behavioral Therapy for Chronic Pain (Brief CBT-CP), an abbreviated, modular form of treatment designed for use in primary care. Methods: A clinical demonstration project was conducted in which Brief CBT-CP was delivered to primary care patients by 22 integrated care providers practicing in the Primary Care Behavioral Health model of Veterans Health Administration primary care clinics. Brief measures were used at each appointment to collect patient-reported clinical outcomes. Results: One hundred eighteen patients provided sufficient data for analysis (male, 75%; mean age, 51.4 y). Multilevel modeling suggested that a composite measure of pain intensity and functional limitations showed statistically significant improvements by the third appointment (Cohen’s d=0.65). Pain-related self-efficacy outcomes showed a similar pattern of results but of smaller effect size (Cohen’s d=0.22). The exploratory analysis identified that Brief CBT-CP modules addressing psychoeducation and goal setting, pacing, and relaxation training were associated with the most significant gains in treatment outcomes. Discussion: These findings provide early support for the effectiveness of Brief CBT-CP when delivered by providers in every day Primary Care Behavioral Health settings. Results are discussed in relation to the need for additional research regarding the potential value of employing safe, population-based, nonpharmacological approaches to pain management in primary care.
Contrary to prior research, the results of this study did not confirm the unique predictive role of low positive affect/anhedonia among Mexican Americans, suggesting that risk factors for this group may be different from other populations and cessation approaches may also need to differ. (PsycINFO Database Record
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